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Predicting vegetation phenology in response to climate change using bioclimatic indices in Iraq

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)835–851
JournalJournal of Water and Climate Change
Volume10
Issue number4
Early online date23 Feb 2018
DOIs
DateAccepted/In press - 27 Jan 2018
DateE-pub ahead of print - 23 Feb 2018
DatePublished (current) - 1 Dec 2019

Abstract

Although most phenology models can analyze and predict future trends in response to climate change, these models often perform poorly in semi-arid regions where precipitation is limited. In this study, we modified an existing phenology model, the Growing Season Index (GSI), to better quantify relationships between weather and vegetation canopy dynamics across various semi-arid regions of Iraq. A modified GSI was created by adding a cumulative precipitation control to the existing GSI framework. Both unmodified and modified GSI values were calculated for three locations in Western Iraq: Sulaymaniyah in the north, Wasit in the centre and Basrah in the south as well as a country-wide mean and the running mean daily unmodified and modified GSI values for these study areas were calculated from 2001-2010 and compared to the Normalized Difference Vegetation Index (NDVI) from MODerate-resolution Imaging Spectroradiometer (MODIS) for the same time period. Country-wide median inter-annual correlations between GSI and NDVI more than doubled with the addition of the precipitation control and within-site correlations also show substantial improvements. The modified model has a huge potential be used to predict future phenological responses to changing climatic conditions, as well as to reconstruct historical vegetation conditions. This study is important to understanding not only the Iraqi region as it considers the results of climatic and environmental changes that have taken place in recent decades, but it should improve vegetation phenological predictions across Iraq and other semiarid regions of the world, particularly in the face of rapid climate change and environmental deterioration.

    Research areas

  • climate change, minimum temperature, GSI model, phenology, photoperiod, vapour pressure deficit, daylength, precipitation

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IWA publishing at https://doi.org/10.2166/wcc.2018.142 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.09 MB, PDF document

  • Supplementary information PDF

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IWA publishing at https://doi.org/10.2166/wcc.2018.142 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 2.84 MB, PDF document

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